{"id":"W4402476141","doi":"10.1371/journal.pone.0310312","title":"White matter disconnection impacts proprioception post-stroke","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Canadian Institutes of Health Research; Alberta Innovates; Alberta Innovates - Health Solutions; Heart and Stroke Foundation of Canada","keywords":"Proprioception; Disconnection; Superior longitudinal fasciculus; Fasciculus; White matter; Psychology; Physical medicine and rehabilitation; Arcuate fasciculus; Neuroimaging; Neuroscience; Corticospinal tract; Stroke (engine); Corpus callosum; Corona radiata (embryology); Inferior longitudinal fasciculus; Grey matter; Medicine; Magnetic resonance imaging; Tractography; Diffusion MRI; Physics; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001622722,0.0002369803,0.000274045,0.0004123252,0.0002452303,0.0004316799,0.000109179,0.0002416587,0.002051458],"category_scores_gemma":[0.001233047,0.00008943382,0.0001375137,0.000246257,0.0003605015,0.0004218555,0.0005539757,0.0002937025,0.0003001507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002697349,"about_ca_system_score_gemma":0.0002769716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002917062,"about_ca_topic_score_gemma":0.005819891,"domain_scores_codex":[0.9998761,0.00001423633,0.00001546589,0.00003115775,0.00002982934,0.00003312293],"domain_scores_gemma":[0.9995591,0.00007708539,0.0002266256,0.00002787277,0.00005308222,0.00005628447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004579552,0.0009652856,0.7255928,0.0003170267,0.0004311075,0.002448704,0.001715405,0.001328961,0.1614378,0.0001983884,0.0006326411,0.1003524],"study_design_scores_gemma":[0.000003787675,0.0004529056,0.9970204,0.000010235,0.00002262494,0.0003462132,0.0001680906,0.0001532864,0.001565897,0.0001063474,0.0001453456,0.000004901752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993113,0.0001744472,0.0001076748,0.0000215441,0.000001551524,0.000004792971,0.00006520103,0.000006921006,0.000306508],"genre_scores_gemma":[0.9993365,0.0001302833,0.00006107947,0.00001259105,0.000002089456,0.000007120305,0.0001115741,0.000002356255,0.0003363052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002917062,"threshold_uncertainty_score":0.006862879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06886686923058691,"score_gpt":0.3159629885609188,"score_spread":0.2470961193303319,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}